This repository contains source code, resources, documentation and final results of the project for the Cyber-Physical Systems course of Automation Engineering at the Univerity of Bologna for the academic year 23/2024.
Here we have collected and categorized various resources that have been useful during the project development
Links:
- CNN with MNIST 1
- CNN with MNIST 2
- CNN with MNIST 3: the example code of this can be found under the
resources/mnist
folder. - CNN theory
Books:
- Deep Reinforcement Learning Hands-On: Apply Modern RL Methods, Maxim Lapan
- Foundations of Deep Reinforcement Learning: Theory and Practice in Python
python3 example.py # or python3 example.py --task="quad_with_obstacles"